从田地土壤采样到流域模型:通过整合信息和插曲方法来进行升级
Lei Chen1, Weichen Wang1, Chengcheng Wang2
1State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, PR China.
Journal of environmental management
|May 11, 2024
概括
使用信息的优化土壤采样可以改善流域水文学和非点源 (H/NPS) 建模准确性. 这种具有成本效益的方法通过升级现场数据来增强H/NPS模拟,特别是.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 土壤科学 土壤科学
背景情况:
- 准确的土壤属性数据对于流域水文学和非点源 (H/NPS) 建模至关重要.
- 目前用于土壤采样和数据整合的方法在提高模型准确性和成本效益方面存在挑战.
研究的目的:
- 优化土壤采样点和属性,以进行增强的H/NPS建模.
- 评估不同参数化方案对H/NPS模型性能的影响.
- 开发一个具有成本效益的框架来扩大土壤采样信息的规模.
主要方法:
- 信息和空间插值被用来优化土壤采样.
- 土壤特性包括散密度,和液压导电性和可用的水容量被参数化.
- 用土壤和水资源评估工具 (SWAT) 来测试不同的参数化方案.
主要成果:
- 优化采样需要更多的SOL_BD,SOL_K和SOL_AWC的分数.
- 与传统数据库相比,新方案提高了纳什-萨特克利夫效率 (NSE) 22.8%,R2 提高了 10.5%.
- 基于的优化减少了13.2%的采样点,提供了更具成本效益的解决方案.
- 采样属性对NPS建模,特别是,的影响比水文模拟更大.
结论:
- 拟议的基于的框架有效地优化了土壤采样,以改进H/NPS建模.
- 这种方法为流域建模提供了更准确,更具成本效益的方法.
- 该框架可用于将田地土壤数据扩展到流域尺度,从而增强H/NPS模拟.
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